QA Lead- Data

LaPieza; Ciudad de México; Presencial; MXN 1.618.122 - 2.157.496; Jornada completa

Descripción de la vacante

A prominent beauty organization based in Mexico City is seeking a QA Lead for Data to ensure the accuracy and integrity of enterprise data assets. The successful candidate will develop and implement comprehensive data quality assurance strategies. Candidates should have over 10 years of experience in data testing and strong SQL proficiency, along with familiarity with various database technologies and ETL tools. This is a full-time position with the aim of supporting critical business intelligence and analytics initiatives.

Formación

• 10+ years of experience in data quality assurance or data testing roles.
• Experience with various database technologies (relational, NoSQL).
• Familiarity with data warehousing concepts.

Responsabilidades

• Develop and execute data quality assurance strategies.
• Design and maintain test cases for data ingestion pipelines.
• Collaborate with data architects and engineers to understand data flows.
• Implement automated data validation and define quality metrics.

Conocimientos

Data quality assurance

SQL proficiency

Data analysis

Attention to detail

Data governance principles

Educación

Bachelor's degree in Computer Science, Data Science, or Information Systems

Herramientas

ETL tools (DataFactory, Talend, Informatica, SSIS)

Descripción del empleo

1 day ago Be among the first 25 applicants

For over a century, our organization has dedicated its passion, creativity, and scientific expertise to a single mission: beauty. Our aim is to deliver the highest standards of quality, effectiveness, safety, authenticity, and responsibility to meet the diverse beauty needs and aspirations of people worldwide.

The QA Lead for Data will be responsible for ensuring the accuracy, integrity, and reliability of our enterprise data assets. This role will define and implement comprehensive data quality assurance strategies across various data sources, transformations, and consumption points, supporting critical business intelligence, analytics, and data-driven initiatives.

Key Responsibilities:

• Develop and execute end-to-end data quality assurance strategies, including data profiling, validation, reconciliation, and integrity checks.
• Design, develop, and maintain test cases for data ingestion pipelines (ETL/ELT), data warehousing solutions, data lakes, and reporting dashboards.
• Collaborate with data architects, data engineers, and business intelligence teams to understand data models and data flows.
• Implement automated data validation routines and define data quality metrics and reporting mechanisms.
• Identify, track, and manage data defects, working with data engineering teams for timely resolution.
• Ensure data compliance with regulatory requirements and internal data governance policies.

Essential Qualifications:

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• Proven experience (10+ years) in data quality assurance or data testing roles.
• Strong proficiency in SQL for data querying and analysis.
• Experience with various database technologies (e.g., relational, NoSQL) and data warehousing concepts.
• Familiarity with ETL/ELT tools and processes (e.g., DataFactory, Talend, Informatica, SSIS).
• Understanding of data governance principles and data quality best practices.
• Excellent analytical skills and attention to detail.

We are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles!

Equal Opportunity Statement

We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.

Seniority level

Executive

Employment type

Full-time

Job function

Information Technology

Industries

Retail Health and Personal Care Products and Personal Care Product Manufacturing

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